The Hausdorff Moment Problem under Finite Additivity
Enrique Miranda (),
Gert Cooman () and
Erik Quaeghebeur ()
Additional contact information
Enrique Miranda: Rey Juan Carlos University
Gert Cooman: Ghent University, Systems Research Group
Erik Quaeghebeur: Ghent University, Systems Research Group
Journal of Theoretical Probability, 2007, vol. 20, issue 3, 663-693
Abstract:
We investigate to what extent finitely additive probability measures on the unit interval are determined by their moment sequence. We do this by studying the lower envelope of all finitely additive probability measures with a given moment sequence. Our investigation leads to several elegant expressions for this lower envelope, and it allows us to conclude that the information provided by the moments is equivalent to the one given by the associated lower and upper distribution functions.
Keywords: Hausdorff moment problem; coherent lower prevision; lower distribution function; complete monotonicity (search for similar items in EconPapers)
Date: 2007
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10959-007-0055-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:jotpro:v:20:y:2007:i:3:d:10.1007_s10959-007-0055-4
Ordering information: This journal article can be ordered from
https://www.springer.com/journal/10959
DOI: 10.1007/s10959-007-0055-4
Access Statistics for this article
Journal of Theoretical Probability is currently edited by Andrea Monica
More articles in Journal of Theoretical Probability from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().